& Authorization CHAPTER SIX HIGH AVAILABILITY Kyuubi provides both high availability and load balancing solutions based on Zookeeper. 6.1 Quick Start In this section, you will learn how to setup copy of hive-site.xml into $$SPARK_HOME/conf, every single Spark application will automati- cally load this config file to its classpath. This version of configuration has lower priority than those in without requiring human intervention. 6.2. Deploying Kyuubi 55 Kyuubi, Release 1.3.0 Load Balance Mode Load balancing aims to optimize all Kyuubi service units usage, maximize throughput, minimize response

& Authorization CHAPTER SIX HIGH AVAILABILITY Kyuubi provides both high availability and load balancing solutions based on Zookeeper. 6.1 Quick Start In this section, you will learn how to setup copy of hive-site.xml into $$SPARK_HOME/conf, every single Spark application will automati- cally load this config file to its classpath. This version of configuration has lower priority than those in without requiring human intervention. 6.2. Deploying Kyuubi 55 Kyuubi, Release 1.3.0 Load Balance Mode Load balancing aims to optimize all Kyuubi service units usage, maximize throughput, minimize response

period. HA works to provide Kyuubi that meets an agreed-upon operational performance level. • Load balancing – It becomes necessary for Kyuubi in a real-world production environment to ensure high availability achieve zero downtime for planned system maintenance • Failure detectability – Failures and system load of kyuubi server and engines are visible via metrics, logs, and so forth. 4 Chapter 1. A Unified and Flink to build a streaming data warehouse. And then, you can use Zookeeper to enable the load balancing for high availability. The data could be stored in Hive, Apache Iceberg, or other DBMSs. In

period. HA works to provide Kyuubi that meets an agreed-upon operational performance level. • Load balancing – It becomes necessary for Kyuubi in a real-world production environment to ensure high availability achieve zero downtime for planned system maintenance • Failure detectability – Failures and system load of kyuubi server and engines are visible via metrics, logs, and so forth. 4 Chapter 1. A Unified and Flink to build a streaming data warehouse. And then, you can use Zookeeper to enable the load balancing for high availability. The data could be stored in Hive, Apache Iceberg, or other DBMSs. In

period. HA works to provide Kyuubi that meets an agreed-upon operational performance level. • Load balancing – It becomes necessary for Kyuubi in a real-world production environment to ensure high availability achieve zero downtime for planned system maintenance • Failure detectability – Failures and system load of kyuubi server and engines are visible via metrics, logs, and so forth. 4 Chapter 1. A Unified and Flink to build a streaming data warehouse. And then, you can use Zookeeper to enable the load balancing for high availability. The data could be stored in Hive, Apache Iceberg, or other DBMSs. In

period. HA works to provide Kyuubi that meets an agreed-upon operational performance level. • Load balancing – It becomes necessary for Kyuubi in a real-world production environment to ensure high availability achieve zero downtime for planned system maintenance • Failure detectability – Failures and system load of kyuubi server and engines are visible via metrics, logs, and so forth. 4 Chapter 1. A Unified and Flink to build a streaming data warehouse. And then, you can use Zookeeper to enable the load balancing for high availability. The data could be stored in Hive, Apache Iceberg, or other DBMSs. In

period. HA works to provide Kyuubi that meets an agreed-upon operational performance level. • Load balancing – It becomes necessary for Kyuubi in a real-world production environment to ensure high availability achieve zero downtime for planned system maintenance • Failure detectability – Failures and system load of kyuubi server and engines are visible via metrics, logs, and so forth. 4 Chapter 1. A Unified and Flink to build a streaming data warehouse. And then, you can use Zookeeper to enable the load balancing for high availability. The data could be stored in Hive, Apache Iceberg, or other DBMSs. In

period. HA works to provide Kyuubi that meets an agreed-upon operational performance level. • Load balancing – It becomes necessary for Kyuubi in a real-world production environment to ensure high availability achieve zero downtime for planned system maintenance • Failure detectability – Failures and system load of kyuubi server and engines are visible via metrics, logs, and so forth. 4 Chapter 1. A Unified and Flink to build a streaming data warehouse. And then, you can use Zookeeper to enable the load balancing for high availability. The data could be stored in Hive, Apache Iceberg, or other DBMSs. In

period. HA works to provide Kyuubi that meets an agreed-upon operational performance level. • Load balancing – It becomes necessary for Kyuubi in a real-world production environment to ensure high availability achieve zero downtime for planned system maintenance • Failure detectability – Failures and system load of kyuubi server and engines are visible via metrics, logs, and so forth. 4 Chapter 1. A Unified and Flink to build a streaming data warehouse. And then, you can use Zookeeper to enable the load balancing for high availability. The data could be stored in Hive, Apache Iceberg, or other DBMSs. In

period. HA works to provide Kyuubi that meets an agreed-upon operational performance level. • Load balancing – It becomes necessary for Kyuubi in a real-world production environment to ensure high availability achieve zero downtime for planned system maintenance • Failure detectability – Failures and system load of kyuubi server and engines are visible via metrics, logs, and so forth. 4 Chapter 1. A Unified and Flink to build a streaming data warehouse. And then, you can use Zookeeper to enable the load balancing for high availability. The data could be stored in Hive, Apache Iceberg, or other DBMSs. In